Maria Praskova

14 papers and 1.1k indexed citations i.

About

Maria Praskova is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Maria Praskova has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cell Biology and 2 papers in Plant Science. Recurrent topics in Maria Praskova’s work include Hippo pathway signaling and YAP/TAZ (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Maria Praskova is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Maria Praskova collaborates with scholars based in Bulgaria, United States and Belgium. Maria Praskova's co-authors include Joseph Avruch, Fan Xia, Sara Ortiz-Vega, Dawang Zhou, Xianfeng Zhang, Matthew Liu, Ramnik J. Xavier, Fan Mou, Hanno Hock and Fan Xia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Maria Praskova i

Fields of papers citing papers by Maria Praskova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Praskova. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maria Praskova. The network helps show where Maria Praskova may publish in the future.

Countries citing papers authored by Maria Praskova

Since Specialization
Citations

This map shows the geographic impact of Maria Praskova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maria Praskova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Praskova more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025